def get_P(network):
num_vertices = len(network["vertices"])
P = numpy.zeros(shape=(num_vertices, num_vertices))
total_out = numpy.zeros(num_vertices)
edges = network["edges"]
for edge in edges:
end1 = edge["end1"]
end1_index = find(network["vertices"], "id", end1)
total_out[end1_index] = total_out[end1_index] + edge["flow"]
for edge in edges:
end1 = edge["end1"]
end1_index = find(network["vertices"], "id", end1)
end2 = edge["end2"]
end2_index = find(network["vertices"], "id", end2)
P[end1_index][end2_index] = edge["flow"] / total_out[end1_index]
return P
def check_pnumber():
pnum = input("Skriv personnummer YYMMDDXXXX:")
pnum_multiplied = multiply(pnum)
num = summary(pnum_multiplied)
control = find(num)
print("Din kontrollsiffra bör vara:", control)
return int(pnum[-1]) == control #True/False
def process_tags(data):
path = settings.upload_folder + data['tag'][0] + '/'
if not os.path.exists(path):
os.makedirs(path)
for item in data['ids[]']:
print 'Moving item ' + item
# old_item_path = helpers.find(item + '.*', settings.upload_folder)
old_item_path = helpers.find(item, settings.upload_folder)
# old_item_path = settings.upload_folder + item;
new_item_path = path + old_item_path.split('/')[-1]
os.rename(old_item_path, new_item_path)
def get_market_summaries():
"""
get_market_summaries gets the top 40% highest volume market summaries for
btc, eth and usdt based markets
TODO: how can we automate the btc/eth/usdt lists into automated list generation based on the split[0] for the MarketName?
"""
summaries = Rex.get_market_summaries()["result"]
currencies = Rex.get_currencies()["result"]
btc_summaries = []
eth_summaries = []
usdt_summaries = []
for summary in reversed(sorted(summaries, key=itemgetter("Volume"))):
market = summary["MarketName"].split("-")[0]
coin = summary["MarketName"].split("-")[1]
entry = {}
entry["symbol"] = coin
coin_info = find(currencies, "Currency", coin)
if coin_info:
entry["name"] = coin_info["CurrencyLong"].lower()
if market == "BTC":
btc_summaries.append(entry)
if market == "ETH":
eth_summaries.append(entry)
if market == "USDT":
usdt_summaries.append(entry)
summaries = btc_summaries[:get_cream(btc_summaries)] + eth_summaries[:get_cream(
eth_summaries)] + usdt_summaries[:get_cream(usdt_summaries)]
# get rid of blacklist terms
for blacklisted in blacklist:
for summary in summaries:
if summary["symbol"] == blacklisted:
summaries.remove(summary)
# ensure no duplicates
final = []
for i in summaries:
if i not in final:
final.append(i)
if env == "test":
return final[:5]
return final
def read_EPANET_Flows(network, path, net_name, hour):
flow_file_name = path + net_name + "_EdgeFlow_" + str(hour) + "am.txt"
f = open(flow_file_name, "r")
contents = f.readlines()
line_no = 4
while line_no < len(contents):
line = contents[line_no]
line_parts = line.split()
while len(line_parts) > 0:
edgeID = line_parts[1]
edge_index = find(network["edges"], "id", edgeID)
flow = float(line_parts[2])
end1 = network["edges"][edge_index]["end1"]
end2 = network["edges"][edge_index]["end2"]
vertex_index_1 = find(network["vertices"], "id", end1)
vertex_index_2 = find(network["vertices"], "id", end2)
if (flow < 0):
network["edges"][edge_index].update({
"flow": -1 * flow,
"end1": end2,
"end2": end1
})
children = network["vertices"][vertex_index_2]["children"]
parents = network["vertices"][vertex_index_1]["parents"]
children.append(network["vertices"][vertex_index_1]["id"])
parents.append(network["vertices"][vertex_index_2]["id"])
else:
network["edges"][edge_index].update({"flow": flow})
children = network["vertices"][vertex_index_1]["children"]
parents = network["vertices"][vertex_index_2]["parents"]
children.append(network["vertices"][vertex_index_2]["id"])
parents.append(network["vertices"][vertex_index_1]["id"])
line_no = line_no + 1
if line_no == len(contents):
break
line = contents[line_no]
line_parts = line.split()
return network
def search_results(request):
search_key = request.GET['search']
results = find(search_key, max_size)
paginator = Paginator(results, 15) # Show 15 results per page
page = request.GET.get('page')
try:
page_results = paginator.page(page)
except PageNotAnInteger:
# If page is not an integer, deliver first page.
page_results = paginator.page(1)
except EmptyPage:
# If page is out of range (e.g. 9999), deliver last page of results.
page_results = paginator.page(paginator.num_pages)
return render(request, "searchapp/results.html", {'res' : page_results, 'search_key' : search_key})
def search_results(request):
search_key = request.GET['search']
results = find(search_key, max_size)
paginator = Paginator(results, 15) # Show 15 results per page
page = request.GET.get('page')
try:
page_results = paginator.page(page)
except PageNotAnInteger:
# If page is not an integer, deliver first page.
page_results = paginator.page(1)
except EmptyPage:
# If page is out of range (e.g. 9999), deliver last page of results.
page_results = paginator.page(paginator.num_pages)
return render(request, "searchapp/results.html", {
'res': page_results,
'search_key': search_key
})
from bitstruct import *
import numpy
import matplotlib.pyplot as plt
from helpers import find, centerBins,lstSearch
wiredata = numpy.load('Ch3.dat.npy')
indiwire=find(wiredata,150,1300)
wireHist=numpy.histogram(wiredata[indiwire],8*16)
wireLUVals=centerBins(wireHist[1])
griddata = numpy.load('Ch7.dat.npy')
indigrid=find(griddata,150,1000)
gridHist=numpy.histogram(griddata[indigrid],2*48)
gridLUVals=centerBins(gridHist[1])
#print(gridLUVals,wireLUVals)
LUT=dict()
#NOTE THE DATA SEEM TO INDICATE THAT THE GRID NUMBERING IS MISREPRESENTED IN THE MULTIGRID.PDF FILE. IT LOOKS LIKE WIRES 1-64 GO WITH GRIDS 49-96
pixID=0
for j in range(48,96):
for k in range(0,64):
from bitstruct import *
import numpy
import matplotlib.pyplot as plt
from helpers import find, centerBins, lstSearch
wiredata = numpy.load('Ch3.dat.npy')
indiwire = find(wiredata, 150, 1300)
wireHist = numpy.histogram(wiredata[indiwire], 8 * 16)
wireLUVals = centerBins(wireHist[1])
griddata = numpy.load('Ch7.dat.npy')
indigrid = find(griddata, 150, 1000)
gridHist = numpy.histogram(griddata[indigrid], 2 * 48)
gridLUVals = centerBins(gridHist[1])
#print(gridLUVals,wireLUVals)
LUT = dict()
#NOTE THE DATA SEEM TO INDICATE THAT THE GRID NUMBERING IS MISREPRESENTED IN THE MULTIGRID.PDF FILE. IT LOOKS LIKE WIRES 1-64 GO WITH GRIDS 49-96
pixID = 0
for j in range(48, 96):
for k in range(0, 64):
LUT.update({(int(wireLUVals[k]), int(gridLUVals[j])): pixID})
pixID += 1
for j in range(0, 48):
def rest_name(request):
search_key = request.GET['search']
results = find(search_key, 20)
return JsonResponse({'res': results})
def rest_name(request):
search_key = request.GET['search']
results = find(search_key, 20)
return JsonResponse({'res' : results})